Sigbritt Werner

3.6k citations
101 papers · 2.7k indexed · h-index 26

Impact in

Papers in

Sigbritt Werner

99 papers receiving 2.6k citations

Peers

Sigbritt Werner
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Behavioral Neuroscience 181
  • Endocrine and Autonomic Systems 192
  • Cellular and Molecular Neuroscience 356
  • Reproductive Medicine 156
Replace P Czernichow with:
P Czernichow France
Ayrton Custódio Moreira Brazil
G. Tolis Greece
B. L. Pimstone South Africa
J. S. Jenkins United Kingdom
Susan M. Webb Spain
Sandro Loche Italy
Pietro Maffei Italy
Paul Schalch United States
R. G. Hoskins
Sigbritt Werner relative to P Czernichow France P Czernichow's profile →
Citations per field
00.5×1.7×
P Czernichow · 1×
Citations per year

Countries citing papers authored by Sigbritt Werner

Since Specialization
Citations

This map shows the geographic impact of Sigbritt Werner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sigbritt Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sigbritt Werner more than expected).

Fields of papers citing papers by Sigbritt Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sigbritt Werner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sigbritt Werner. The network helps show where Sigbritt Werner may publish in the future.

Co-authors

The 25 scholars most cited alongside Sigbritt Werner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sigbritt Werner Line = papers co-authored together Sigbritt Werner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201856
2 201327
3 20132
4 200761
5 2002103
6 2001124
7 199627
8 199510
9 19948
10 199417
11 199181
12 199124
13 199020
14 199044
15 19889
16 198830
17 198522
18
DNA measurements of human pituitary tumours.
19817
19
Plasma catecholamine levels in the diagnosis and management of pheochromocytoma.
198111
20 19809

About Sigbritt Werner

Sigbritt Werner is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Nephrology, Pharmacy and Surgery, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (41 papers), Growth Hormone and Insulin-like Growth Factors (33 papers), Adrenal and Paraganglionic Tumors (17 papers), Hormonal Regulation and Hypertension (10 papers), Thyroid Disorders and Treatments (8 papers), Adrenal Hormones and Disorders (8 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroendocrine Tumor Research Advances (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Behavioral Neuroscience (181 citations), Endocrine and Autonomic Systems (192 citations), Cellular and Molecular Neuroscience (356 citations) and Reproductive Medicine (156 citations). Sigbritt Werner has collaborated with scholars based in Sweden, Germany and Australia. Frequent co-authors include P. Eneroth, Tomas Hökfelt, A.‐S. MATTHIESEN, Kerstin Uvnäs‐Moberg, Jan Winberg, A.-M. Widström, Kerstin Brismar, Gösta Eggertsen, H. Löw and Kazuhiko Tatemoto. Their work appears in journals such as European Journal of Endocrinology, Acta Oto-Laryngologica, Hormone and Metabolic Research, Neurosurgery and Clinical Endocrinology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026